| Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers S Zheng, J Lu, H Zhao, X Zhu, Z Luo, Y Wang, Y Fu, J Feng, T Xiang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 3770 | 2021 |
| Pixel2mesh: Generating 3d mesh models from single rgb images N Wang, Y Zhang, Z Li, Y Fu, W Liu, YG Jiang Proceedings of the European conference on computer vision (ECCV), 52-67, 2018 | 1638 | 2018 |
| Soft filter pruning for accelerating deep convolutional neural networks Y He, G Kang, X Dong, Y Fu, Y Yang arXiv preprint arXiv:1808.06866, 2018 | 1270 | 2018 |
| Transductive Multi-view Zero-Shot Learning Y Fu, T Hospedales, T Xiang, S Gong IEEE TPAMI, 2015 | 590 | 2015 |
| Pose-normalized image generation for person re-identification X Qian, Y Fu, T Xiang, W Wang, J Qiu, Y Wu, YG Jiang, X Xue Proceedings of the European conference on computer vision (ECCV), 650-667, 2018 | 555 | 2018 |
| Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking J Peng, C Wang, F Wan, Y Wu, Y Wang, Y Tai, C Wang, J Li, F Huang, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 420 | 2020 |
| Multi-scale deep learning architectures for person re-identification X Qian, Y Fu, YG Jiang, T Xiang, X Xue Proceedings of the IEEE international conference on computer vision, 5399-5408, 2017 | 365 | 2017 |
| Multi-level semantic feature augmentation for one-shot learning Z Chen, Y Fu, Y Zhang, YG Jiang, X Xue, L Sigal IEEE Transactions on Image Processing 28 (9), 4594-4605, 2019 | 362* | 2019 |
| Learning salient boundary feature for anchor-free temporal action localization C Lin, C Xu, D Luo, Y Wang, Y Tai, C Wang, J Li, F Huang, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 318 | 2021 |
| Transductive multi-view embedding for zero-shot recognition and annotation Y Fu, TM Hospedales, T Xiang, Z Fu, S Gong Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 291 | 2014 |
| Pixel2mesh++: Multi-view 3d mesh generation via deformation C Wen, Y Zhang, Z Li, Y Fu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 289 | 2019 |
| Image deformation meta-networks for one-shot learning Z Chen, Y Fu, YX Wang, L Ma, W Liu, M Hebert Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 288 | 2019 |
| A simple feature augmentation for domain generalization P Li, D Li, W Li, S Gong, Y Fu, TM Hospedales Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 225 | 2021 |
| Multi-view video summarization Y Fu, Y Guo, Y Zhu, F Liu, C Song, ZH Zhou IEEE Transactions on Multimedia 12 (7), 717-729, 2010 | 220 | 2010 |
| Instance credibility inference for few-shot learning Y Wang, C Xu, C Liu, L Zhang, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 218 | 2020 |
| Long-term cloth-changing person re-identification X Qian, W Wang, L Zhang, F Zhu, Y Fu, T Xiang, YG Jiang, X Xue Proceedings of the Asian Conference on Computer Vision, 2020 | 206 | 2020 |
| Learning a few-shot embedding model with contrastive learning C Liu, Y Fu, C Xu, S Yang, J Li, C Wang, L Zhang Proceedings of the AAAI conference on artificial intelligence 35 (10), 8635-8643, 2021 | 199 | 2021 |
| Recent advances in zero-shot recognition: Toward data-efficient understanding of visual content Y Fu, T Xiang, YG Jiang, X Xue, L Sigal, S Gong IEEE Signal Processing Magazine 35 (1), 112-125, 2018 | 187 | 2018 |
| Incremental transformer structure enhanced image inpainting with masking positional encoding Q Dong, C Cao, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 186 | 2022 |
| Asymptotic soft filter pruning for deep convolutional neural networks Y He, X Dong, G Kang, Y Fu, C Yan, Y Yang IEEE transactions on cybernetics 50 (8), 3594-3604, 2019 | 185 | 2019 |
Xiangyang XueProfessor of Computer Science, Fudan UniversityE-mail megerősítve itt: fudan.edu.cn